Project description:Flexible multiplatform RNA profiling at the single cell level applied to enriched cancer initiating cells: RNA-Seq MCF7 and MCF10A single cell data
Project description:We used single-cell RT-PCR to analyze the EMT program of disseminated single cells acquired from epithelial ovarian cancer (EOC) ascites.
Project description:Circulating RNAs are a less invasive and easy accessed source of samples for biomedical research and clinical applications. However, circulating mRNA is mostly fragmented and less abundant. High throughput RNA sequencing (RSEQ) and DASL assay have been both applied to profile such fragmented RNA samples. In this study, we compared the ability of transcriptomic profiling of the two platforms. Circulating RNAs from three non-small cell lung cancer patients and three age-matched healthy controls were analyzed by RSEQ and DASL assay. The concordance of each gene analyzed by the two platforms were measured with Pearson's correlation coefficient. And gene expression level determined by both platforms were confirmed by RT-PCR. The two platforms showed modest to moderate correlation. Genes with higher expression level represented higher cross-platform concordance. Compare the results of RT-PCR and the two platforms, RSEQ was much higher correlated with RT-PCR. This data suggested that RSEQ could be more suitable for circulating RNA profiling. In conclusion, we have demonstrated that genes with higher expression levels showed cross-platform concordance. And, the RSEQ could be more suitable tool for profiling circulating RNAs.
